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Field
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also enabling researchers to apply AI methods in a sound and informed way. Your responsibilities Translate research questions into appropriate data science and AI approaches and support selected projects
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change Support for the development and integration of 3D pose estimation and localization methods in the building sector Creation of synthetic reference datasets and the development of Python scripts
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passionate about AI research and eager to make a real-world impact, we want to hear from you! Your Job Work on a wide range of computer vision and machine learning methods and applications focusing
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develop our own numerical methods and tools, but also extensively employ and co-develop numerical techniques provided by the international community. We are looking for one PhD student to join our team in
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Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal
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methods for the animation of 3D human avatars using Python and Pytorch Capturing of training data using Motion Capture Systems Setting up and evaluating experiments on machine learning model performance
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Scientific Assistant (f/m/d) Junior Helmholtz.AI Consultant / Completed university studies (Bache...
management # in use of HPC resources # with methods of explainability of computer vision models # A self-organized, creative approach to work, as well as a communicative, tolerant, and resilient personality
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use the BVA's salary calculator). Responsibilities include both disciplinary and technical leadership, as well as the implementation of new methods in official statistics. The professorship at LMU
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Design, Software Engineering, Computer Engineering, Robotics, Autonomous Systems or comparable. Contact-rich tasks in assembly often involve complex physical interactions and high sensitivity to parameter
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interpretability. The primary objective of the thesis is to integrate explainability-driven approaches into the training pipeline. These approaches can be based on 3D uncertainty estimation to identify specific